Search results for "Process"
showing 10 items of 22310 documents
Reliable polygonal approximations of imaged real objects through dominant point detection
1998
Abstract The problem of dominant point detection is posed, taking into account what usually happens in practice. The algorithms found in the literature often prove their performance with laboratory contours, but the shapes in real images present noise, quantization, and high inter and intra-shape variability. These effects are analyzed and solutions to them are proposed. We will also focus on the conditions for an efficient (few points) and precise (low error) dominant point extraction that preserves the original shape. A measurement of the committed error (optimization error, E 0 ) that takes into account both aspects is defined for studying this feature.
[How to design workshops to promote health in community groups].
2013
Resumen Una de las estrategias de promoción de la salud es el desarrollo de habilidades para la vida considerando a las propias personas como principal recurso para la salud. Un taller ha de conseguir que sus participantes se conviertan en «activos» para tomar decisiones y generar salud, centrándose en el desarrollo y adquisición de habilidades en grupo de una manera motivadora y con la finalidad de alcanzar unos objetivos. Los conceptos que fundamentan el diseño de un taller y que han de plantearse como etapa 0 son: planificación participativa, capacitar, aprendizaje significativo, aprender en grupo y técnicas participativas. Las etapas que se deben seguir para diseñar un taller y facilita…
Influence of Teacher and Family Support on University Student Motivation and Engagement
2021
Although many studies endorse the notion that the way students perceive support influences their engagement, very few have explored the possible mediator role of intention to learn between these variables. The present work provides new evidence to the existing literature because it analyses the work of intention to learn (measured with expectancy–value beliefs and achievement goals) as a mediating motivational variable in the relation between university students’ external support (teacher and family) and their engagement. The Educational Situation Quality Model (MOCSE, its acronym in Spanish) has employed as a theoretical framework to perform this analysis. A sample of 267 Spanish universit…
Sequential Mining Classification
2017
Sequential pattern mining is a data mining technique that aims to extract and analyze frequent subsequences from sequences of events or items with time constraint. Sequence data mining was introduced in 1995 with the well-known Apriori algorithm. The algorithm studied the transactions through time, in order to extract frequent patterns from the sequences of products related to a customer. Later, this technique became useful in many applications: DNA researches, medical diagnosis and prevention, telecommunications, etc. GSP, SPAM, SPADE, PrefixSPan and other advanced algorithms followed. View the evolution of data mining techniques based on sequential data, this paper discusses the multiple …
Medical Data Mining for Heart Diseases and the Future of Sequential Mining in Medical Field
2018
Data Mining in general is the act of extracting interesting patterns and discovering non-trivial knowledge from a large amount of data. Medical data mining can be used to understand the events happened in the past, i.e. studying a patients vital signs to understand his complications and discover why he has died, or to predict the future by analyzing the events that had happened. In this chapter we are presenting an overview on studies that use data mining to predict heart failure and heart diseases classes. We will also focus on one of the trendiest data-mining field, namely the Sequential Mining, which is a very promising paradigm. Due to its important results in many fields, this chapter …
Overview on Sequential Mining Algorithms and Their Extensions
2018
The main purpose of data mining is to extract hidden, important and nontrivial information from a database. Sequential Pattern Mining is a data mining technique that aims to obtain and analyze frequent subsequences from sequences of events or items with or without time constraint. The importance of a sequence can be measured based on different factors such as the frequency of their occurrence, their length and also their profit. The pattern mining or the discovery of important and unexpected patterns and information was first introduced in 1990 with the well-known Apriori algorithm. Then, and after many studies on frequent pattern mining, a new approach appeared: Sequential Pattern Mining. …
Hop: Histogram of patterns for human action representation
2017
This paper presents a novel method for representing actions in terms of multinomial distributions of frequent sequential patterns of different length. Frequent sequential patterns are series of data descriptors that occur many times in the data. This paper proposes to learn a codebook of frequent sequential patterns by means of an apriori-like algorithm, and to represent an action with a Bag-of-Frequent-Sequential-Patterns approach. Preliminary experiments of the proposed method have been conducted for action classification on skeletal data. The method achieves state-of-the-art accuracy value in cross-subject validation.
Aprūpe pacientiem ar dzelzs deficīta anēmiju
2016
Bakalaura darba tēma – Aprūpe pacientiem ar dzelzs deficīta anēmiju. Tēmas aktualitāti nosaka Pasaules Veselības Organizācijas statistikas dati, ka aptuveni 2 miljardi pasaules iedzīvotāju cieš no anēmijas, no kuriem aptuveni 50% gadījumu ir saistīti ar dzelzs trūkumu organismā (2). Līdz ar to dzelzs deficīta anēmija ir aktuāla globāla veselības problēma, tādēļ ir svarīgi noskaidrot aprūpes procesa īpatnības un grūtības, ar kurām saskarās medicīnas personāls, aprūpējot pacientu ar DDA. Aprūpes īpatnību izpēte un analīze ļaus uzlabot DDA pacientu aprūpes kvalitāti. Darba mērķis ir noskaidrot aprūpi pacientiem ar dzelzs deficīta anēmiju. Pētniecības uzdevumi ir veikt literatūras analīzi par d…
Aprūpes process intensīvā terapijā pacientiem ar traheostomu
2018
Bakalaura darba tēma „Aprūpes process intensīvā terapijā pacientiem ar traheostomu” ir izvēlēta, lai izprastu un definētu aprūpes procesu intensīvās terapijas nodaļā pacientiem ar traheostomu, jo Latvijā nav standartizēta šāda veida aprūpe. Pētījuma mērķis: Izpētīt aprūpes procesu intensīvā terapijā pacientiem ar traheostomu. Mērķa sasniegšanai ir izvirzīti pētniecības uzdevumi, analizēt literatūru par intensīvās terapijas aprūpes procesu pacientiem ar traheostomu un analizēt Ida J. Orlando māsu procesu teoriju. Izvirzītais pētījuma jautājums: Kāds aprūpes process tiek nodrošināts pacientiem intensīvā terapijā ar traheostomu? Pēc autores veiktā pētījuma, ir redzams, ka Latvijā ir nepiecieša…
Aprūpes process pacientiem ar pankreatītu intensīvās terapijas nodaļā
2018
Bakalaura darba tēma “Aprūpes process pacientiem ar pankreatītu intensīvās terapijas nodaļā”. Darba mērķis bija noskaidrot kāds ir aprūpes process intensīvās terapijas nodaļā pacientiem ar pankreatītu. Darba izstrādei tika izvirzīti vairāki darba uzdevumi: veikt literatūras analīzi par saslimšanu ar pankreatītu un aprūpes procesu; analizēt K.Rojas māszinību teoriju saistībā ar bakalaura darba tēmu; izstrādāt pētījuma instrumentu- interviju, veikt pilotpētījumu un pētījumu; apkopot un analizēt pētījumā iegūtos rezultātus; izdarīt secinājumus. Sekmīgai darba izstrādei tika izvirzīts pētniecības jautājums: Kāds ir aprūpes process pacientiem ar pankreatītu intensīvās terapijas nodaļā? Pētījuma …